Data Governance
Glossary Page
Data governance is a mechanism that guarantees the adherence to specific standards, such as business rules, data definitions, and data integrity constraints, when entering data by operational team members or automated processes (wiki). It comprises a collection of processes or regulations that safeguard data integrity and ensure compliance with best practices in data management (+). Key responsibilities include: 1. Leveraging existing data - identifying methods to utilize available data effectively. 2. Data enrichment - enhancing data by integrating internal and external sources. 3. Data protection - ensuring data privacy and security. 4. Data upkeep - managing the overall health of governed data.
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Catena-X data ecosystem U.S. expansion: AIAG hub at IMDS-AIAG 2024
Catena-X partners with AIAG to launch a North American hub, advancing data sharing for sustainability in automotive supply chains. Their innovative approach uses Web3 technology for secure, scalable, and efficient data exchange, including live demonstrations of Product Carbon Footprint tracking.
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Chris S. Langdon
Nov 20, 2024
Dansk Data Space Forum: T-Systems demonstrates the accessibility and value of dataspaces
The Danish Data Space Forum and Gaia-X Hub launch showcases how businesses can securely share data using advanced dataspaces. T-Systems offers accessible, standardized solutions enabling organizations to focus on unlocking economic benefits rather than managing complex technology, supporting all industries in leveraging dataspaces effectively.
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Nina Popanton
Nov 15, 2024
The Global Data Space family gathers in Vienna: A day of innovation and insight
The Global Data Spaces Connect in Vienna highlighted the transition from technical exploration to practical, business-driven applications of dataspaces. With insights from experts like Wolfgang Ebner, Nina Popanton, and Sofie Verbrugge, the event showcased cross-domain innovations, sustainable business models, and real-world applications in fields such as smart cities and healthcare. Leaders emphasized the importance of collaboration, robust business cases, and scalability, underscoring dataspaces' potential to transform industries.
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Nina Popanton
Nov 13, 2024